The Master of Science in Quantitative and Computational Finance (MSQF) program at Duke University is a rigorous, 24-month master's degree designed to prepare students for careers in the quantitative finance industry. The program offers a deep dive into financial theory, quantitative methods, and computational tools essential for roles in investment banking, asset management, hedge funds, and other financial institutions. It combines a strong theoretical foundation with practical application, equipping graduates with the skills needed to excel in a rapidly evolving financial landscape.
The MSQF curriculum is designed to provide a comprehensive understanding of quantitative and computational finance. It typically spans two academic years, with core courses in finance, mathematics, statistics, and computer science, followed by electives allowing for specialization.
Graduates of the MSQF program are well-prepared for a variety of challenging roles in the finance industry. The program's rigorous curriculum and practical focus equip students with the analytical and technical skills sought by leading employers.
GRE is not required for the 2025-2026 application cycle. Applicant videos are not considered. The application is submitted through the Duke Graduate School.
Tuition fees are the same for international and domestic students. These figures are subject to change.
Tuition fees for the MSQF program are $76,330 per year. These fees are the same for international and domestic students and are subject to change.
The Master of Science in Quantitative and Computational Finance (MSQF) program is a rigorous, 24-month master's degree.
Estimated annual living costs for students are $21,000, which covers housing, food, books, and personal expenses.
International students must achieve a TOEFL score of 100 or an IELTS score of 7.0.
A strong undergraduate record in a quantitative field such as mathematics, statistics, computer science, economics, engineering, or finance is required, along with demonstrated proficiency in calculus, linear algebra, probability, and statistics.
The application deadline for Fall admission is December 15.